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Monitoring of SARS-CoV-2 in sewage based on digital PCR method
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Xi YANG1, 2, Yan-peng CHENG2, Chen DU2, Yue-jing PENG3, 2, Ding-jie HUANG4, 2, Bin-cai WEI5, 2, Xiu-yuan SHI5, 2, Zhi-jiao YUE1, 2, Chen-xi GAO4, 2, Li-li CHEN1, Ying-hui LI2, Qing-hua HU1, 2
Modern Preventive Medicine | 2024, 51(21) : 3991 - 3996
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Modern Preventive Medicine | 2024, 51(21): 3991-3996
Disease Control and Prevention
Monitoring of SARS-CoV-2 in sewage based on digital PCR method
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Xi YANG1, 2, Yan-peng CHENG2, Chen DU2, Yue-jing PENG3, 2, Ding-jie HUANG4, 2, Bin-cai WEI5, 2, Xiu-yuan SHI5, 2, Zhi-jiao YUE1, 2, Chen-xi GAO4, 2, Li-li CHEN1, Ying-hui LI2, Qing-hua HU1, 2
Affiliations
  • Department of Public Health Laboratory Sciences, School of Public Health, Hengyang Medical School, University of South China, Hengyang 421001, China
Published: 2024-11-10 doi: 10.20043/j.cnki.MPM.202407371
Outline
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Objective

To explore a method for monitoring the concentration of SARS-CoV-2 in sewage in Shenzhen using digital PCR, enabling real-time detection of viral nucleic acids in sewage and reflecting the epidemiological status of COVID-19 infections in the population through nucleic acid concentration.

Methods

A digital PCR detection system for SARS-CoV-2 in sewage was established, and its minimum detection limit was determined. From April to July 2023, 24-hour composite sewage samples were collected twice weekly from the inflow of six sewage treatment plants in Nanshan and Futian districts of Shenzhen. The modified polyethylene glycol precipitation method was used for viral concentration enrichment, followed by quantitative detection of SARS-CoV-2 nucleic acids using the established reverse transcription digital PCR (RT-dPCR) method. Concurrently, data on COVID-19 infection cases in the monitored sewage areas were collected for correlation analysis with the nucleic acid concentrations in the sewage.

Results

The RT-dPCR method for SARS-CoV-2 nucleic acid detection was successfully established, with a minimum detection limit of 1.00 copies/μl. A total of 162 sewage samples were collected from April to July 2023, with a positive detection rate of 96.3% for SARS-CoV-2 nucleic acids. The concentration of SARS-CoV-2 nucleic acids in Nanshan district ranged from 1.00×103 to 1.08×106 copies/L, while in Futian district it ranged from 1.44×103 to 1.40×106 copies/L, with peak concentrations observed on May 16. Correlation analysis indicated a significant association between sewage SARS-CoV-2 nucleic acid concentrations and the number of COVID-19 infection cases in the population (Nanshan district r=0.77, P<0.001; Futian district r=0.80, P<0.001).

Conclusion

The digital PCR method is suitable for the quantitative detection of low concentrations of SARS-CoV-2 nucleic acids in sewage, allowing for real-time monitoring of the COVID-19 epidemic, thus providing a scientific basis for public health management and intervention.

Sewage monitoring  /  Novel coronavirus  /  Digital PCR  /  SARS-CoV-2 infection
Xi YANG, Yan-peng CHENG, Chen DU, Yue-jing PENG, Ding-jie HUANG, Bin-cai WEI, Xiu-yuan SHI, Zhi-jiao YUE, Chen-xi GAO, Li-li CHEN, Ying-hui LI, Qing-hua HU. Monitoring of SARS-CoV-2 in sewage based on digital PCR method[J]. Modern Preventive Medicine, 2024 , 51 (21) : 3991 -3996 . DOI: 10.20043/j.cnki.MPM.202407371
Year 2024 volume 51 Issue 21
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Article Info
doi: 10.20043/j.cnki.MPM.202407371
  • Receive Date:2024-07-20
  • Online Date:2026-03-20
  • Published:2024-11-10
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  • Received:2024-07-20
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    Department of Public Health Laboratory Sciences, School of Public Health, Hengyang Medical School, University of South China, Hengyang 421001, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
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占总种数比例
Percentage of
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种数
Number of
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Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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